I Built Ecommerce Before Amazon. Here's What I See Coming.

Ronald Reynolds · 2026-02-10 · 7 min read

In 1994, I built an online shopping system. Amazon wouldn't launch for another year. The word "ecommerce" didn't exist yet. We were just trying to figure out whether people would actually buy things through a computer screen.

They did.

I've spent the fifty years since then building software — systems that process transactions, manage inventory, connect buyers to sellers. I've watched every major platform shift reshape commerce: the web, mobile, social, cloud, SaaS. I've built through all of them.

What I see happening now is bigger than any of them. Every Shift Follows the Same Pattern

Here's what fifty years teaches you: technology shifts are predictable in structure, even when they're surprising in specifics.

The pattern goes like this:

1. A new interface emerges. The web browser. The smartphone. The social feed. 2. Consumers adopt it faster than businesses expect. Always faster. Every time. 3. Early businesses on the new interface win disproportionately. Not because they're better — because they're there. 4. Everyone else scrambles to catch up. Most never fully do. 5. The new interface becomes the default. The old one doesn't die, but it stops being where growth happens.

I've watched this cycle five times. I'm watching it start again right now.

The new interface is the AI agent. And the adoption curve is steeper than anything I've seen before. What's Different This Time

Every previous shift changed how customers interact with your business. The web gave them a screen instead of a store. Mobile gave them a phone instead of a desktop. Social gave them a feed instead of a search engine.

But in every case, the customer was still doing the work. Browsing. Searching. Comparing. Clicking. Adding to cart. Entering their credit card. The interface changed. The labor didn't.

Agentic commerce changes the labor.

When a customer tells an AI agent to find them a product, they're not browsing — the agent is. They're not comparing — the agent is. They're not navigating your checkout flow — the agent is. The customer expresses intent, and the agent handles everything between intent and delivery.

This isn't a better shopping experience. It's a fundamentally different model of commerce, one where the customer's agent becomes the primary buyer, and your store's job is to be findable, queryable, and transactable by that agent.

That distinction matters enormously for how businesses need to operate. The Moment I Knew

I started building ComOS in late 2025. Not because I read a market report. Because I watched what was happening with MCP — Model Context Protocol — and recognized a pattern I'd seen before.

In the early days of the web, I watched businesses agonize over whether they "needed" a website. The answer was obviously yes, but it took most of them years to act. By then, the businesses that moved first had locked up the search rankings, the customer relationships, and the brand recognition. Latecomers spent ten times more to achieve half the results.

MCP is the website moment for AI commerce. It's the protocol that lets AI agents interact with your business. Without it, agents can't find you. With it, every agent in the world can search your catalog, build a cart, and complete a purchase.

When I saw that MCP had been adopted by the Linux Foundation — giving it the same institutional backing as Linux itself — I knew the window was open. And I knew from fifty years of experience exactly how fast that window closes. Why I Built ComOS as a Solo Founder

People ask me about this a lot. 900,000 lines of TypeScript. 56 microservices. 69 autonomous agents. 126 MCP tools. Built by one person.

The honest answer: I built it this way because it was the right way to build it, and AI made it possible.

Fifty years of software engineering means I carry the architecture in my head. I know how commerce systems should be structured because I've built them more times than I can count. What used to take a team of thirty engineers and two years now takes one experienced architect working with AI tools that can translate intent into code at extraordinary speed.

This isn't about replacing engineers. It's about what happens when deep domain expertise meets AI-augmented execution. The combination produces something that neither could achieve alone — systems that are architecturally sound because the human understands the domain, and technically comprehensive because the AI can operate at a pace and breadth that no human matches.

I don't share this to brag. I share it because it proves the thesis of ComOS itself: AI doesn't replace human expertise. It amplifies it. That's true for software engineering, and it's true for commerce. The merchants who use AI as an amplifier — starting with making their businesses visible to AI agents — will outperform those who don't. What I See Coming

I'll be specific, because vague predictions are worthless:

Within 12 months: AI-assisted purchasing will move from "interesting trend" to "meaningful revenue channel" for connected merchants. Stores with MCP presence will start tracking agent-originated sales as a distinct metric, alongside direct and organic. Early numbers will be modest — 3-5% of revenue. But the growth rate will be unmistakable.

Within 24 months: Major retail categories will have a clear divide between "agent-visible" and "agent-invisible" merchants. The visible ones will report 15-25% of sales originating from AI agents. The invisible ones will wonder why their traffic is declining despite unchanged ad spend.

Within 36 months: "Is your store agent-ready?" will be as basic a question as "Do you have a website?" Merchants without protocol connectivity will be as disadvantaged as businesses without websites were in 2005 — still functional, but structurally behind.

Within 5 years: Agentic commerce will represent a quarter to a third of all online transactions. The infrastructure layer that connects agents to merchants — the role ComOS occupies — will be as foundational to commerce as payment processing is today.

These aren't hopes. They're projections based on current adoption data, protocol standardization timelines, and the same pattern I've watched play out across five previous platform shifts. The specifics may vary. The trajectory won't. The Lesson From Fifty Years

If there's one thing I've learned building software since the 1970s, it's this: the biggest opportunities don't announce themselves with fanfare. They show up as small technical shifts that most people dismiss as niche.

"Who needs a website? We have catalogs." "Mobile shopping? Nobody buys things on a phone." "Social commerce? That's just a fad."

Every one of those statements was made by serious people who were wrong. Not because they were stupid, but because they underestimated how quickly a new interface goes from novelty to necessity.

AI agents shopping on behalf of customers is the next version of that sentence. You can dismiss it, or you can position your business for it.

I've seen this movie five times. I know how it ends.

That's why I built ComOS. Not to ride a trend, but to give every merchant — not just the ones with enterprise budgets — the infrastructure to be part of what comes next.

The shift is here. The protocol is standardized. The agents are shopping.

The only question is whether your store is visible when they do.